AI SOLUTIONS
Start with one system. Scale into an AI workforce.
Some companies start with a single AI use case. Others want to rethink how their operations run. We support both - and build every system so it can scale into AI-driven operations.
AI SOLUTIONS
Some companies start with a single AI use case. Others want to rethink how their operations run. We support both - and build every system so it can scale into AI-driven operations.
APPROACH
Every system we build connects to the same execution framework - Agentic Factory.
What starts as one AI deployment can evolve into a network of agents running real operational work across your organization.
CAPABILITIES
Every company starts from a different point - whether that's identifying where AI creates value, building the right infrastructure, or deploying systems immediately. Our capabilities cover the full path.
Identify systems worth building. Most organizations know AI matters. Few know where to start. We work with leadership teams to identify where AI can create the highest operational impact. Not a vision deck. A practical execution roadmap.
What we build:
Identify AI opportunities across operations, workflows, and decision processes
Evaluate ROI, cost structures, and deployment complexity per use case
Prioritize opportunities based on impact, feasibility, and speed to production
Define the build vs buy vs partner strategy for each system
Align leadership, technology, and domain teams on the execution plan
4-8 Weeks
Typical scope
AI deployment roadmap with quantified business impact
Output
Build the foundation that can run AI at scale. Most organizations experiment with AI, but few have infrastructure built for production. We design the data, cloud, and governance architecture to run AI reliably in enterprise environments - including integration, data access, and safe operation.
What we build:
Identify AI opportunities across operations, workflows, and decision processes
Evaluate ROI, cost structures, and deployment complexity per use case
Prioritize opportunities based on impact, feasibility, and speed to production
Define the build vs buy vs partner strategy for each system
Align leadership, technology, and domain teams on the execution plan
8-16 Weeks
Typical scope
Production-ready AI infrastructure
Output
Deploy AI systems into real operations. This is where AI moves from experimentation to production. We build custom AI-native systems - often in the form of agents that perform tasks, coordinate workflows, or support decision-making - tailored to your environment.
What we build:
Identify AI opportunities across operations, workflows, and decision processes
Evaluate ROI, cost structures, and deployment complexity per use case
Prioritize opportunities based on impact, feasibility, and speed to production
Define the build vs buy vs partner strategy for each system
Align leadership, technology, and domain teams on the execution plan
8-12 Weeks
Typical scope
AI system running in production
Output
HOW PROJECTS START
01
02
03
04
Stop running AI pilots. Start running AI operations.
Offices
Saarbrücker Str. 19
10405 Berlin
Germany
Ul. kneza Branimira 41,
10000, Zagreb
Croatia
(Coming soon)